Clean up stale rooms based on activity and participant criteria
AI agents call cleanup_stale_rooms to permanently remove resources in ZMCPTools — typically in cleanup and lifecycle workflows. It does its job in a single call, and there is no undo.
Cleaning up stale rooms involves deleting or purging room records that meet certain criteria. This is an irreversible bulk deletion operation — once rooms are cleaned up, their state, history, and participant data are lost. The automated nature (criteria-based bulk removal) increases the blast radius if misused.
From the tool's definition 'Clean up stale rooms' — 'clean up' implies irreversible removal of room data based on activity/participant criteria
Documented attack patterns abuse exactly the kind of access cleanup_stale_rooms gives an agent:
PolicyLayer is an MCP gateway — it sits between your AI agents and ZMCPTools, and nothing reaches the server without passing your rules. This is the rule we recommend for cleanup_stale_rooms:
{
"version": "1",
"default": "deny",
"hide": [
"cleanup_stale_rooms"
]
} cleanup_stale_rooms disappears from the agent's tool list entirely, and any attempt to call it is denied. The rest of the server keeps working.
Free to start. No card required.
Clean up stale rooms based on activity and participant criteria. It is categorised as a Destructive tool in the ZMCPTools MCP Server, which means it can permanently delete or destroy data. Block by default and require explicit approval.
Register the ZMCPTools MCP server in PolicyLayer and add a rule for cleanup_stale_rooms: allow, deny, rate-limit, or require approval. Point your MCP client at the PolicyLayer proxy URL and the rule is enforced on every call, before it reaches ZMCPTools. Nothing to install.
cleanup_stale_rooms is a Destructive tool with critical risk. Critical-risk tools should be blocked by default and only enabled with explicit human approval.
Yes. Add a rate_limit block to the cleanup_stale_rooms rule in your PolicyLayer policy. For example, setting max: 10 and window: 60 limits the tool to 10 calls per minute. Rate limits are tracked per agent session and reset automatically.
Set action: deny in the PolicyLayer policy for cleanup_stale_rooms. The AI agent will receive a policy violation error and cannot call the tool. You can also include a reason field to explain why the tool is blocked.
cleanup_stale_rooms is provided by the ZMCPTools MCP server (zachhandley/zmcptools). PolicyLayer sits as a proxy in front of this server to enforce policies before tool calls reach the server.
Deterministic rules across all 70 ZMCPTools tools. Per-identity grants. Full audit log. Live in minutes. Nothing to install.
Free to start. No card required.
70 ZMCPTools tools catalogued and risk-classified — across an index of 42,500+ MCP servers.